In forecasting, macroeconomic variables such as GDP play an important role for policy makers and for the assessment of the future state of the economy. In this paper, different models to forecast quarterly GDP growth in Albania will be presented. The first group of models bases on ARIMA structures. These models are applied directly once on GDP series and then to the main economic activities which are been used to derive GDP. The second group of models for forecast uses VAR model, and the last group are refereed on by the bridge models. In cases were bridge models are used, variables with different frequencies are forecasted for the missing period. After that, all the series are aggregated at quarterly frequencies and are used for GDP foreca...
In this paper we have forecasted Serbian quarterly GDP data for 2013. We have used extended classica...
The delayed release of the National Account data for GDP is an impediment to the early understanding...
We evaluate the forecasting performance of four competing models for short-term macroeconomic foreca...
We evaluate the forecasting performance of six different models for short-term forecasting of Macedo...
The paper explores the possibilities of creating an econometric model for making short-term forecast...
Forecasting of the Gross Domestic Product The paper is meant to investigate one of the main economic...
This paper aims at offering a statistical evaluation methodology on the forecasting performance of ...
In the most developed countries the first estimations of Gross Domestic Product (GDP) are available ...
AbstractWe develop a suite of statistical models to forecast Latvian GDP. We employ various univaria...
This paper evaluates models that exploit timely monthly releases to compute early estimates of curre...
This paper uses Box-Jenkins approach to model and forecast real GDP growth in Ethiopia. Such an...
This article reconsiders the developing of a new forecast model using the interrupted ...
This thesis studies macroeconomic forecasting using time series models. The precise research questio...
Both temporal disaggregation techniques and bridge models are tools to analyse the GDP dynamics in t...
This paper evaluates different models for the short-term forecasting of real GDP growth in ten selec...
In this paper we have forecasted Serbian quarterly GDP data for 2013. We have used extended classica...
The delayed release of the National Account data for GDP is an impediment to the early understanding...
We evaluate the forecasting performance of four competing models for short-term macroeconomic foreca...
We evaluate the forecasting performance of six different models for short-term forecasting of Macedo...
The paper explores the possibilities of creating an econometric model for making short-term forecast...
Forecasting of the Gross Domestic Product The paper is meant to investigate one of the main economic...
This paper aims at offering a statistical evaluation methodology on the forecasting performance of ...
In the most developed countries the first estimations of Gross Domestic Product (GDP) are available ...
AbstractWe develop a suite of statistical models to forecast Latvian GDP. We employ various univaria...
This paper evaluates models that exploit timely monthly releases to compute early estimates of curre...
This paper uses Box-Jenkins approach to model and forecast real GDP growth in Ethiopia. Such an...
This article reconsiders the developing of a new forecast model using the interrupted ...
This thesis studies macroeconomic forecasting using time series models. The precise research questio...
Both temporal disaggregation techniques and bridge models are tools to analyse the GDP dynamics in t...
This paper evaluates different models for the short-term forecasting of real GDP growth in ten selec...
In this paper we have forecasted Serbian quarterly GDP data for 2013. We have used extended classica...
The delayed release of the National Account data for GDP is an impediment to the early understanding...
We evaluate the forecasting performance of four competing models for short-term macroeconomic foreca...